Fundamentals

“Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies

Algorithms, Au-Zone Technologies, Object Identification, Object Tracking, Software, Summit 2023, Tools, Videos /

Sébastien Taylor, Vice President of Research and Development at Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2023 Embedded Vision Summit. Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different type of visual understanding: semantic […]

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“How Transformers Are Changing the Nature of Deep Learning Models,” a Presentation from Synopsys

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Tom Michiels, System Architect for ARC Processors at Synopsys, presents the “How Transformers Are Changing the Nature of Deep Learning Models” tutorial at the May 2023 Embedded Vision Summit. The neural network models used in embedded real-time applications are evolving quickly. Transformer networks are a deep learning approach that has become dominant for natural language

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“Ensuring Quality Data for Deep Learning in Varied Application Domains: Data Collection, Curation and Annotation,” a Presentation from Nemo @ Ridecell

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Gaurav Singh, Perception Lead and System Architect at Nemo @ Ridecell, presents the “Ensuring Quality Data for Deep Learning in Varied Application Domains: Data Collection, Curation and Annotation” tutorial at the May 2022 Embedded Vision Summit. In this presentation, Singh explores the data lifecycle for deep learning, with a particular emphasis on data curation and

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“Selecting the Right Camera for Your Embedded Computer Vision Project,” a Presentation from Digital Sense

Edge AI and Vision Alliance, Sensors and Cameras, Summit 2022, Videos /

Adrián Márques , Managing Partner at Digital Sense, presents the “Selecting the Right Camera for Your Embedded Computer Vision Project” tutorial at the May 2022 Embedded Vision Summit. The right camera can be key to the success of a computer vision project. For example, in an object detection or segmentation task, you can gain much

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“12+ Image Quality Attributes that Impact Computer Vision,” a Presentation from Commonlands

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Max Henkart, Optics Consultant and Owner of Commonlands LLC, presents the “12+ Image Quality Attributes that Impact Computer Vision” tutorial at the May 2022 Embedded Vision Summit. In this presentation, Henkart introduces key image quality metrics. He discusses how they impact the performance of geometric and CNN-based methods, along with providing key performance indicators (KPIs)

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“MLOps: Managing Data and Workflows for Efficient Model Development and Deployment,” a Presentation from Airbus

Aerospace and Defense, Edge AI and Vision Alliance, Software, Summit 2022, Tools, Videos /

Konstantinos Balafas, Head of AI Data, and Carlo Dal Mutto, Director of Engineering, both of Airbus, present the “MLOps: Managing Data and Workflows for Efficient Model Development and Deployment” tutorial at the May 2022 Embedded Vision Summit. Machine learning operations (MLOps) is the engineering field focused on techniques for developing and deploying machine learning solutions

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“Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications,” a Presentation from NVIDIA

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Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications” tutorial at the May 2022 Embedded Vision Summit. AI has become an important component of computer vision and video analytics applications. But creating AI-based solutions is a challenging process. To build a successful product, it

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“Understanding DNN-Based Object Detectors,” a Presentation from Au-Zone Technologies

Algorithms, Au-Zone Technologies, Object Identification, Object Tracking, Software, Summit 2022, Tools, Videos /

Azhar Quddus, Senior Computer Vision Engineer at Au-Zone Technologies, presents the “Understanding DNN-Based Object Detectors” tutorial at the May 2022 Embedded Vision Summit. Unlike image classifiers, which merely report on the most important objects within or attributes of an image, object detectors determine where objects of interest are located within an image. Consequently, object detectors

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“Introduction to Computer Vision with Convolutional Neural Networks,” a Presentation from Intel

Algorithms, Intel, Processors, Sensors and Cameras, Software, Summit 2022, Tools, Videos /

Mohammad Haghighat, Senior AI Software Product Manager at Intel, presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2022 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then transitions to explaining the

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“Person Re-Identification and Tracking at the Edge: Challenges and Techniques,” a Presentation from the University of Auckland

Algorithms, Edge AI and Vision Alliance, Software, Summit 2021, Tools, Videos /

Morteza Biglari-Abhari, Senior Lecturer at the University of Auckland, presents the “Person Re-Identification and Tracking at the Edge: Challenges and Techniques” tutorial at the May 2021 Embedded Vision Summit. Numerous video analytics applications require understanding how people are moving through a space, including the ability to recognize when the same person has moved outside of

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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